Academic Articles & Research Papers

A Two-Dimensional Sequential Packing Method for Lunar Regolith Particles Based on Random Polygons

To accurately characterize the effects of polydisperse particle sizes, multimineral composition, and angular morphology on the packing structure of lunar regolith, a two-dimensional sequential packing method based on random convex octagons ...

Detection of Majorana zero mode in the vortex

Abstract Majorana zero modes, which behave like Majorana fermions, are quasiparticle excitations in condensed matter systems. They obey non-Abelian statistics, and have been proposed as building blocks of topological quantum computers. They...

Intrinsic open quantum walk on integer cattice ℤ(整数格ℤ上的内禀开放量子游荡)

As quantum analogs of classical Markov chains, open quantum walks have found wide application in many research fields such as quantum computing and quantum simulation. This paper introduces a model of intrinsic open quantum walk on the 1-di...

Monitoring distributed systems

The monitoring of distributed systems involves the collection, interpretation, and display of information concerning the interactions among concurrently executing processes. This information and its display can support the debugging, testin...

An introduction to cybersecurity

This inaugural chapter provides a thorough exposition on the fundamentals of cybersecurity, underscoring its paramount importance in the contemporary digital landscape. A comprehensive examination of the cyber threat landscape is presented,...

Deep Neural Networks for Natural Language Processing

Neural Networks: A Review from a Statistical Perspective

This paper informs a statistical readership about Artificial Neural Networks (ANNs), points out some of the links with statistical methodology and encourages cross-disciplinary research in the directions most likely to bear fruit. The areas...

Bayesian Learning for Neural Networks

Pattern Recognition and Neural Networks

This 1996 book is a reliable account of the statistical framework for pattern recognition and machine learning. With unparalleled coverage and a wealth of case-studies this book gives valuable insight into both the theory and the enormously...

Neural Networks in Applied Statistics

Artificial neural networks are computer algorithms or computer programs derived in part from attempts to model the activity of nerve cells. They have been applied to pattern recognition, classification, and optimization problems in the phys...

A neural network model for survival data

Neural networks have received considerable attention recently, mostly by non-statisticians. They are considered by many to be very promising tools for classification and prediction. In this paper we present an approach to modelling censored...

Annealed leap-point sampler for multimodal target distributions.

An IXPE-led X-Ray Spectropolarimetric Campaign on the Soft State of Cygnus X-1: X-Ray Polarimetric Evidence for Strong Gravitational Lensing

We present the first X-ray spectropolarimetric results for Cygnus X-1 in its soft state from a campaign of five IXPE observations conducted during 2023 May–June. Companion multiwavelength data during the campaign are likewise shown. The 2–8...

Handbook of Space Astronomy and Astrophysics

Fully updated and including data from space-based observations, this Third Edition is a comprehensive compilation of the facts and figures relevant to astronomy and astrophysics. As well as a vast number of tables, graphs, diagrams and form...

Analytically Computing the Moments of a Conic Combination of Independent Noncentral Chi-Square Random Variables and Its Application for the Extended Cox–Ingersoll–Ross Process with Time-Varying Dimension

This paper focuses mainly on the problem of computing the γth, γ>0, moment of a random variable Yn:=∑i=1nαiXi in which the αi’s are positive real numbers and the Xi’s are independent and distributed according to noncentral chi-square distri...

Generational Differences in Dietary Behaviours: A Cross-Sectional Study of Generations X, Y, and Z [version 1; peer review: 2 approved]

Background Dietary behaviours influence obesity and chronic disease. In Saudi Arabia, Westernised diets and sedentary lifestyles have driven rising obesity. This study explores generational dietary patterns to inform Saudi Vision 2030 plann...

Total Lymphocyte Count, Neutrophil-Lymphocyte Ratio, and Platelet-Lymphocyte Ratio as Prognostic Factors in Advanced Non-Small Cell Lung Cancer with Chemoradiotherapy [Corrigenudm]

Song X, Chen D, Yuan M, Wang H, Wang Z. Cancer Manag. 2018;10:6677– 6683On page 6677, Abstract, Results subheading, the median baseline PLR should be 136.1.On page 6680, Results section, 2nd paragraph, the median baseli...

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The work is dedicated to description of Russian settlements patterns using spatial statistics. Spatial statistics is a powerful analysis method which reveals the properties of 2D point distributions. The methods differ from each other in is...

Assessment of the learning environment among medical students at Tabuk University, Saudi Arabia: a cross-sectional study

BackgroundThe learning environment (LE) is integral to medical students’ academic performance, emotional well-being, and professional development. Students’ perceptions of their learning environment provide valuable insights for identifying...

Dynamic analysis of the economic effects of population structural changes in the coming decades of Iran (with emphasis on the role of women)

The trend of population growth in the last three decades will cause extensive changes in the age structure of Iran's population. So that it can be one of the most important challenges of the country in the coming decades. This development w...